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πŸ“– 12. Three Dimensional Space: Vectors

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About 12. Three Dimensional Space: Vectors

Vector: A vector is a mathematical object that has both a size (called magnitude) and a direction. Think of it like an arrow: the length of the arrow shows the magnitude, and the way it points shows the direction. In three-dimensional space, we describe a vector using three numbers, written as v = (x, y, z). These numbers represent how far the vector moves along the left/right (x), forward/backward (y), and up/down (z) axes. Unlike a simple number (like 5 or -2), which only tells you "how much," a vector tells you "how much" and "which way."

Example: Imagine you are standing at the center of a room. You take 3 steps to the right, 2 steps forward, and 1 step up onto a step. This entire movement can be written as the vector v = (3, 2, 1). The magnitude is the total straight-line distance from your start to your end point (which you could calculate using the Pythagorean theorem in 3D). The direction is the specific path combining right, forward, and up. If you only took 3 steps right, that would be a completely different vector, (3, 0, 0).

Reason: We use vectors in 3D because the real world is three-dimensional, and most things involve both an amount and a direction. For example, when a pilot flies a plane, they need to know not just how fast (speed is a magnitude), but also in what direction (north-east and climbing) to reach their destination. Vectors allow us to mathematically model forces (like wind pushing a ball), velocities (like a car driving up a hill), and positions in 3D games or engineering, making them essential for physics, computer graphics, and robotics.

Vector Operations (Adding and Scaling): Once we have vectors, we can combine them using two main operations. Vector addition means adding two vectors together tip-to-tail: you simply add their matching x, y, and z components. For example, a + b = (a₁+b₁, aβ‚‚+bβ‚‚, a₃+b₃). This creates a new vector that represents the combined effect of both movements. Scalar multiplication means multiplying a vector by a single number (a scalar), which changes its length (magnitude) but not its direction (unless the number is negative, which flips the direction). For instance, 2v makes the vector twice as long, while -v makes it point the opposite way.

Example: Let vector a = (2, 1, 0) mean "move 2 right and 1 forward," and vector b = (1, 0, 3) mean "move 1 right and 3 up." Their sum is a + b = (2+1, 1+0, 0+3) = (3, 1, 3)β€”meaning you end up moving 3 right, 1 forward, and 3 up in total. If you take scalar multiplication, 3a = (6, 3, 0) means you repeat the first movement three times, going 6 right and 3 forward.

Reason: These operations are powerful because they let us model real-world changes. If a boat moves with its own velocity (vector) and a river current pushes it (another vector), adding the two vectors gives the boat's actual path. If you want to apply twice the force to push a box, you simply scale the force vector by 2. These simple rules allow us to break down complex 3D problems into manageable math, which is why vectors are the foundation of 3D geometry and physics.


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πŸ”„ Last updated: 2026-08-16

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πŸ“Œ Topics in this Chapter

3D coordinate system xyz axes
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3D Coordinate Systems & Basic Surfaces
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Algebraic Cross product properties
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Angle between two vectors formula
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Constant surfaces in cylindrical spherical
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Converting between coordinate systems
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Cross product definition and formula
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Cross Product formula 3x3 determinant
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Cylindrical and Spherical Coordinate Systems
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Cylindrical and Spherical Coordinates
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Cylindrical surfaces in 3D space
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Determinants for cross product
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Direction angles of a vector
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Distance formula in 3D and sphere equation
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Distance from point to plane formula
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Dot Product & Projections
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Dot product definition and formula
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Dot product properties commutative distributive
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Dot product sign and angle interpretation
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Geometric Cross Product Properties
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Geometric representation of vectors
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How to graph quadric surfaces
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How to normalize a vector in calculus
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Identifying quadric surfaces from equation
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Intersection of two planes
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Line segment in 3D
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Line through point with direction vector
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Magnitude or norm of a vector
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Moments and torque in 3D using cross product
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Orthogonal Vector projection formula
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Parametric equations of a line in 3D
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Plane equation in 3D
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Plane from point and normal vector
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Planes parallel to xy xz yz planes
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Quadric surfaces ellipsoid hyperboloid paraboloid
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Quadric Surfaces Overview
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Reflections of surfaces in 3D
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Resultant vector of forces
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Spherical coordinates in navigation
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Surface equations in cylindrical spherical coordinates
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Traces of quadric surfaces
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Translated quadric surfaces
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Unit vectors definition and examples
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Vector addition subtraction scalar multiplication
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Vector arithmetic rules properties
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Vector decomposition into orthogonal components
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Vector equation of a line in 3D
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Vector from magnitude and direction
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Vectors in calculus
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Vectors in coordinate systems components
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Vectors with initial point not at origin
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Work done by force vector
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